7期

最新文章

• Deception Attacks on Remote Estimation With Disclosure and Disruption Resources AI翻译
  作者：Li, Yuzhe; Yang, Yake; Zhao, Zhengen; Zhou, Jing; Quevedo, Daniel E.
  作者单位：Northeastern University - China; Nanjing University of Aeronautics & Astronautics; University of Alberta; Queensland University of Technology (QUT)
  摘要：The problem of deception attacks utilizing both disclosure and disruption resources in the multiple types of sensors setting against remote state estimation is investigated in this article. A group of sensors, including reliable and unreliable ones, measure system states and transmit innovations to a remote fusion center via wireless channels, wherein a malicious attacker can modify the data packets of unreliable sensors. By virtue of disclosure resources of reliable sensors and disruption res...
• Safe Trajectory Tracking in Uncertain Environments AI翻译
  作者：Batkovic, Ivo; Ali, Mohammad; Falcone, Paolo; Zanon, Mario
  作者单位：Chalmers University of Technology; Chalmers University of Technology; Universita di Modena e Reggio Emilia; IMT School for Advanced Studies Lucca
  摘要：In the model predictive control formulations of trajectory tracking problems, infeasible reference trajectories and a priori unknown constraints can lead to cumbersome designs, aggressive tracking, and loss of recursive feasibility. This is the case, for example, in trajectory tracking applications for mobile systems in the presence of constraints that are not fully known a priori. In this article, we propose a new framework called model predictive flexible trajectory tracking control, which r...
• Learning Controllers for Performance Through LMI Regions AI翻译
  作者：Bisoffi, Andrea; De Persis, Claudio; Tesi, Pietro
  作者单位：University of Groningen; University of Florence
  摘要：In an experiment, an input sequence is applied to an unknown linear time-invariant system (in continuous or discrete time) affected also by an unknown-but-bounded disturbance sequence; the corresponding state sequence (and state derivative sequence, in continuous time) is measured. The goal is to design directly from the input and state sequences a controller that enforces a certain performance specification on the transient behavior of the unknown system. The performance specification is expr...
• Robust Structural Stability, Stability Margins, and Maximum Uncertainty Amplification for 2-D Uncertain Systems via Structured Lyapunov Functions and Matrix Annihilators AI翻译
  作者：Chesi, Graziano
  作者单位：University of Hong Kong
  摘要：This article considers two-dimensional (2-D) uncertain systems with homogeneous or mixed dynamics, and addresses the following three problems: establishing robust structural stability, computing robust structural stability margins, and determining the maximum uncertainty amplification that preserves robust structural stability. Two sufficient linear matrix inequality (LMI) conditions are proposed for establishing robust structural stability obtained by introducing an equivalent closed-loop com...
• Optimal Deception Attacks Against Remote State Estimation: An Information-Based Approach AI翻译
  作者：Zhou, Jing; Shang, Jun; Chen, Tongwen
  作者单位：University of Alberta
  摘要：This article studies the problem of deception attacks against remote state estimation from an information perspective. The Kullback-Leibler divergence between the compromised innovation and nominal one is utilized as the stealthiness measure. Without presupposing a linear attack model, the optimal attack policy that can cause maximum performance loss and deceive the false data detector is derived. For both attacks with strict and relaxed stealthiness, the optimal compromised innovation, which ...
• Decentralized Model Reference Adaptive Control for Systems With Time Delays and Dead Zones AI翻译
  作者：Zhang, Zhengqiang; Yang, Chen; Chen, Xinkai
  作者单位：Qufu Normal University; Shibaura Institute of Technology
  摘要：The decentralized robust model reference adaptive control (MRAC) problem is studied for a class of large-scale systems with unknown plant parameters, unknown time-varying delayed interconnections, and unknown dead-zone inputs. Two robust adaptive control schemes are proposed for the cases of symmetric dead-zone input and asymmetric dead-zone input under the assumption of moderate time-delay nonlinearity and the matching conditions of the plant model and the reference model matrix, respectively...
• Stochastic Event-Triggered Variational Bayesian Filtering AI翻译
  作者：Lv, Xiaoxu; Duan, Peihu; Duan, Zhisheng; Chen, Guanrong; Shi, Ling
  作者单位：Peking University; City University of Hong Kong; Hong Kong University of Science & Technology
  摘要：This article proposes an event-triggered variational Bayesian filter for remote state estimation with unknown and time-varying noise covariances. After presetting multiple nominal process noise covariances and an initial measurement noise covariance, a variational Bayesian method and a fixed-point iteration method are utilized to jointly estimate the posterior state vector and the unknown noise covariances under a stochastic event-triggered mechanism. The proposed algorithm ensures low communi...
• A Toolkit for Globally Robust Observer-Based Feedback With Relaxed Characterization of iISS/ISS AI翻译
  作者：Ito, Hiroshi; Shim, Hyungbo
  作者单位：Kyushu Institute of Technology; Seoul National University (SNU)
  摘要：This article elaborates on flexibility in dealing with the interconnection of integral input-to-state stable (iISS) and input-to-state stable (ISS) systems. The undecoupled characterizations introduced separately for iISS and ISS in the literature are linked to build a framework enabling global analysis without settling for local and semiglobal properties. Feedback control design in the presence of measurement noise can benefit from the framework immediately if plants are nonlinear, irrespecti...
• Periodic Averaging of Discrete-Time Systems: A Time-Delay Approach AI翻译
  作者：Yang, Xuefei; Zhang, Jin; Fridman, Emilia
  作者单位：Tel Aviv University; Shanghai University
  摘要：This article is concerned with the stability of discrete-time systems with fast-varying coefficients that may be uncertain. Recently, a constructive time-delay approach to averaging was proposed for continuous-time systems. In this article, we develop, for the first time, this approach to discrete-time case. We first transform the system to a time-delay system with the delay being the period of averaging, which can be regarded as a perturbation of the classical averaged system. The stability o...
• Reduced Order Modeling of Diffusively Coupled Network Systems: An Optimal Edge Weighting Approach AI翻译
  作者：Cheng, Xiaodong; Yu, Lanlin; Ren, Dingchao; Scherpen, Jacquelien M. A.
  作者单位：University of Cambridge; Hefei University of Technology; Westlake University; Chinese Academy of Sciences; University of Science & Technology of China, CAS
  摘要：This article studies reduced-order modeling of dynamic networks with strongly connected topology. Given a graph clustering of an original large-scale network, we construct a quotient graph with less number of vertices, where the edge weights are parameters to be determined. The model of a reduced network is thereby obtained with parameterized system matrices, and then, an edge weighting procedure is devised, aiming to select an optimal set of edge weights to minimize the approximation error be...